forked from moreo/QuaPy
80 lines
1.5 KiB
Plaintext
80 lines
1.5 KiB
Plaintext
num categories = 10
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Train-counts: [1650 181 389 2877 433 347 538 197 369 212]
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Test-counts: [ 719 56 189 1087 149 131 179 89 117 71]
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MLPE: 0.01101
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NPP:
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NaiveCC mae=0.01718
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NaivePCC mae=0.00898
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NaiveACC mae=0.01560
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NaivePACC mae=0.01062
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StackCC mae=0.00790
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StackPCC mae=0.00659 **
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StackACC mae=0.00913
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StackPACC mae=0.00771
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ChainCC mae=0.01644
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ChainPCC mae=0.00924
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ChainACC mae=0.01767
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ChainPACC mae=0.01140
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MRQ-CC mae=0.01130
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MRQ-PCC mae=0.00941
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MRQ-ACC mae=0.01153
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MRQ-PACC mae=0.01000
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MRQ-StackCC mae=0.00757
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MRQ-StackPCC mae=0.00652 **
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MRQ-StackACC mae=0.00799
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MRQ-StackPACC mae=0.00763
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MRQ-StackCC-app mae=0.00791
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MRQ-StackPCC-appmae=0.00840
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MRQ-StackACC-appmae=0.00910
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MRQ-StackPACC-apmae=0.00941
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MRQ-ChainCC mae=0.00989
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MRQ-ChainPCC mae=0.00916
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MRQ-ChainACC mae=0.01251
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MRQ-ChainPACC mae=0.00954
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APP:
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NaiveCC mae=0.04120
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NaivePCC mae=0.03741
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NaiveACC mae=0.03202
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NaivePACC mae=0.02293
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StackCC mae=0.01969
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StackPCC mae=0.01871
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StackACC mae=0.01386 **
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StackPACC mae=0.01267 **
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ChainCC mae=0.04136
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ChainPCC mae=0.03571
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ChainACC mae=0.03622
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ChainPACC mae=0.02659
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MRQ-CC mae=0.04356
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MRQ-PCC mae=0.02532
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MRQ-ACC mae=0.05716
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MRQ-PACC mae=0.02936
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MRQ-StackCC mae=0.02448
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MRQ-StackPCC mae=0.02090
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MRQ-StackACC mae=0.02579
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MRQ-StackPACC mae=0.02388
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MRQ-StackCC-app mae=0.01535
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MRQ-StackPCC-appmae=0.01457
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MRQ-StackACC-appmae=0.01441
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MRQ-StackPACC-apmae=0.01633
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MRQ-ChainCC mae=0.04874
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MRQ-ChainPCC mae=0.02537
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MRQ-ChainACC mae=0.06262
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MRQ-ChainPACC mae=0.02906
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